The transformation of the South African Public Service: exploring the impact of racial and gender representation on organisational effectiveness

2016 ◽  
Vol 54 (1) ◽  
pp. 91-116 ◽  
Author(s):  
Sergio Fernandez ◽  
Hongseok Lee

AbstractThe transformation of the South African Public Service into a bureaucracy that is broadly representative of the population is one of the most significant public sector reforms to occur since the end of apartheid. Grounded in the theory of representative bureaucracy, this study examines demographic representation in the South African Public Service and how it impacts the organisational effectiveness of national departments. The empirical analysis is based on longitudinal data from 60 national departments from 2006 to 2013. The findings show that as these organisations become more representative by hiring a higher per cent of Africans, of Coloureds, and of Indians, they achieve a higher per cent of goals. The findings for gender representation are more mixed and show that female representation among most racial groups is unrelated to organisational effectiveness.

2018 ◽  
Vol 16 ◽  
Author(s):  
Petronella Jonck ◽  
Riaan De Coning ◽  
Paul S. Radikonyana

Orientation: Interest in measuring the impact of skills development interventions has increased in recent years. Research purpose: This article reports on an outcomes evaluation under the ambit of an impact assessment with reference to a research methodology workshop. Motivation of the study: A paucity of studies could be found measuring the workshop outcomes, especially within the public service as it pertains to training interventions. Research approach/design and method: A pretest–post-test research design was implemented. A paired-sample t-test was used to measure the knowledge increase while controlling for the influence of previous training by means of an analysis of variance and multiple regression analysis. Main findings: Results indicated that the increase in research methodology knowledge was statistically significant. Previous training influenced the model only by 0.8%, which was not statistically significant. Practical/managerial implications: It is recommended that the suggested framework and methodology be utilised in future research as well as in monitoring and evaluation endeavours covering various training interventions. Contribution/value add: The study provides evidence of the impact generated by a training intervention, within the South African Public Service. Thus, addressing a research gap in the corpus of knowledge.


2020 ◽  
Author(s):  
Neven Chetty ◽  
Bamise Adeleye ◽  
Abiola Olawale Ilori

BACKGROUND The impact of climate temperature on the counts (number of positive COVID-19 cases reported), recovery, and death rates of COVID-19 cases in South Africa's nine provinces was investigated. The data for confirmed cases of COVID-19 were collected for March 25 and June 30, 2020 (14 weeks) from South Africa's Government COVID-19 online resource, while the daily provincial climate temperatures were collected from the website of the South African Weather Service. Our result indicates that a higher or lower climate temperature does not prevent or delay the spread and death rates but shows significant positive impacts on the recovery rates of COVID-19 patients. Thus, it indicates that the climate temperature is unlikely to impose a strict limit on the spread of COVID-19. There is no correlation between the cases and death rates, an indicator that no particular temperature range is closely associated with a faster or slower death rate of COVID-19 patients. As evidence from our study, a warm climate temperature can only increase the recovery rate of COVID-19 patients, ultimately impacting the death and active case rates and freeing up resources quicker to enable health facilities to deal with those patients' climbing rates who need treatment. OBJECTIVE This study aims to investigate the impact of climate temperature variation on the counts, recovery, and death rates of COVID-19 cases in all South Africa's provinces. The findings were compared with those of countries with comparable climate temperature values. METHODS The data for confirmed cases of COVID-19 were collected for March 25 and June 30 (14 weeks) for South African provinces, including daily counts, death, and recovery rates. The dates were grouped into two, wherein weeks 1-5 represent the periods of total lockdown to contain the spread of COVID-19 in South Africa. Weeks 6-14 are periods where the lockdown was eased to various levels 4 and 3. The daily information of COVID-19 count, death, and recovery was obtained from South Africa's Government COVID-19 online resource (https://sacoronavirus.co.za). Daily provincial climate temperatures were collected from the website of the South African Weather Service (https://www.weathersa.co.za). The provinces of South Africa are Eastern Cape, Western Cape, Northern Cape, Limpopo, Northwest, Mpumalanga, Free State, KwaZulu-Natal, Western Cape, and Gauteng. Weekly consideration was given to the daily climate temperature (average minimum and maximum). The recorded values were considered, respectively, to be in the ratio of death-to-count (D/C) and recovery-to-count (R/C). Descriptive statistics were performed for all the data collected for this study. The analyses were performed using the Person’s bivariate correlation to analyze the association between climate temperature, death-to-count, and recovery-to-count ratios of COVID-19. RESULTS The results showed that higher climate temperatures aren't essential to avoid the COVID-19 from being spread. The present results conform to the reports that suggested that COVID-19 is unlike the seasonal flu, which does dissipate as the climate temperature rises [17]. Accordingly, the ratio of counts and death-to-count cannot be concluded to be influenced by variations in the climate temperatures within the study areas. CONCLUSIONS The study investigates the impact of climate temperature on the counts, recovery, and death rates of COVID-19 cases in all South Africa's provinces. The findings were compared with those of countries with comparable climate temperatures as South Africa. Our result indicates that a higher or lower climate temperature does not prevent or delay the spread and death rates but shows significant positive impacts on the recovery rates of COVID-19 patients. Warm climate temperatures seem not to restrict the spread of the COVID-19 as the count rate was substantial at every climate temperatures. Thus, it indicates that the climate temperature is unlikely to impose a strict limit on the spread of COVID-19. There is no correlation between the cases and death rates, an indicator that there is no particular temperature range of the climatic conditions closely associated with a faster or slower death rate of COVID-19 patients. However, other shortcomings in this study's process should not be ignored. Some other factors may have contributed to recovery rates, such as the South African government's timely intervention to announce a national lockout at the early stage of the outbreak, the availability of intensive medical care, and social distancing effects. Nevertheless, this study shows that a warm climate temperature can only help COVID-19 patients recover more quickly, thereby having huge impacts on the death and active case rates.


2021 ◽  
Vol 11 (4) ◽  
pp. 1-15
Author(s):  
Marianne Matthee ◽  
Albert Wöcke

Subject area Macro-Economics. Study level/applicability Undergraduate and MBA. Case overview The COVID 19 pandemic-related restrictions devastated South Africa’s economy in 2020 and although the restrictions were generally less damaging than in 2020, the government had to budget for vaccinations and rebuild the economy. Public service unions had just announced that they were demanding an increase of 4% above inflation for their members and that they were preparing for a strike. They were bitter about the fact that the South African Government had withdrawn from the last year of a three-year wage agreement in February 2020 and their members had not received an increase for the two years. These demands and Finance Minister Mboweni’s response to them had to consider the structural and cyclical impact on the fiscus and economy. Expected learning outcomes The learning outcomes are as follows: understand the general objectives of fiscal policy and stakeholders’ interests; understand the tradeoffs in fiscal policy and the implications of taking a position; and make recommendations based on reasoned judgements about those recommendations. Complexity academic level Undergraduate and MBA level courses on Macro Economics. Supplementary materials Teaching notes are available for educators only. Subject code CSS 10: Public Sector Management.


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